Computer Vision Basics

This course explains what computer vision is, as well as its mission of making computers see and interpret the world as humans do. Learners are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.

This online course is available on the Coursera platform.

Course Duration: Approximately 4 weeks (4-5 hours of effort per week)

Learning Outcomes

Understand what computer vision is and its goals

Identify some of the key application areas of computer vision

Understand the digital imaging process

Apply mathematical techniques to complete computer vision tasks

Intended Audience

Anyone curious about or interested in exploring the concepts of computer vision

Those who desire a refresher course in mathematical concepts of computer vision

Prerequisites

Credential Opportunities

Continuing Education Units (CEUs): TCIE grants 0.2 CEUs upon successful completion of this course for a fee of $25.

Professional Development Hours (PDHs): TCIE grants 2 PDHs upon successful completion of this course for a fee of $25.

For either a CEU or PDH, a learner must complete a request form. The process entails providing proof of the learner’s Verified Certificate (VC) issued by Coursera. A VC indicates a learner has completed a course with a passing score (he/she does not receive a letter grade). CEUs and PDHs are eligible for those earning a certificate on November 11, 2019 or later.